Identification of bioactive agent in tinospora cordifolia by in- silico approach

https://doi.org/10.53730/ijhs.v6nS3.7313

Authors

  • Akanksha Raj Sriwastava Department of biotechnology, Faculty of Engineering and Technology, Rama University, G. T. Road, Kanpur-209217-India
  • Vivek Srivastava Department of biotechnology, Faculty of Engineering and Technology, Rama University, G. T. Road, Kanpur-209217-India

Keywords:

Candida, molecular docking, ligand, antifingal interactions

Abstract

Candida species cause most fungal infections and contribute significantly to worldwide morbidity and mortality, making them a severe public health threat. Due to their ability to develop resistance to antifungal drugs, these opportunistic fungi defy therapeutic efforts, making them a severe problem in treating and managing Candida infections. Due to co-infection with immune-compromised persons, multidrug-resistant Candida spp. strains have developed as a global concern, which can lead to invasive candidiasis. The life-threatening variant of the illness may be treated quickly and effectively through drug repurposing. Hence, this research was done in tandem with a previous inquiry into the chemicals' ability to fight Candida spp. According to molecular docking and molecular dynamics studies, a total of five compounds, namely Cholesterol, Allopyranose, Melezitose, 1,6-Anhydro-B-D-Glucofuranose, and 1-(3-Cyanophenly)-2-Phenylethane isolated from the sample (in previous study) have the potential to inhibit the growth of further Candida albicans. After ligand binding, the protein-ligand interaction was also studied to know which residues are involved in bond formation. Out of these five ligands, only one ligand violated Lipinski's rule, namely Melezitose. Therefore, the compounds isolated in the previous study have a strong antifungal effect. 

Downloads

Download data is not yet available.

References

Arendrup, M. C., & Patterson, T. F. (2017). Multidrug-resistant Candida: epidemiology, molecular mechanisms, and treatment. The Journal of infectious diseases, 216(suppl_3), S445-S451. https://doi.org/10.1093/infdis/jix131

BARBOSA, M. B., & FARIA, M. G. I. (2014). Produtos Naturais Como Nova Alternativa Terapêutica Para o Tratamento de Candidíase Bucal. Uningá Review Journal, 20(1). http://34.233.57.254/index.php/uningareviews/article/view/1558

Bassetti, M., Righi, E., Montravers, P., & Cornely, O. A. (2018). What has changed in the treatment of invasive candidiasis? A look at the past 10 years and ahead. Journal of Antimicrobial Chemotherapy, 73(suppl_1), i14-i25. https://doi.org/10.1093/jac/dkx445

Berman, H. M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T. N., Weissig, H., ... & Bourne, P. E. (2000). The protein data bank. Nucleic acids research, 28(1), 235-242. https://doi.org/10.1093/nar/28.1.235

Billings, M., Dye, B. A., Iafolla, T., Grisius, M., & Alevizos, I. (2017). Elucidating the role of hyposalivation and autoimmunity in oral candidiasis. Oral diseases, 23(3), 387-394. https://doi.org/10.1111/odi.12626

Dibha, A. F., Wahyuningsih, S., Kharisma, V. D., Ansori, A. N. M., Widyananda, M. H., Parikesit, A. A., Rebezov, M., Matrosova, Y., Artyukhova, S., Kenijz, N., Kiseleva, M., Jakhmola, V., & Zainul, R. (2022). Biological activity of kencur (Kaempferia galanga L.) against SARS-CoV-2 main protease: In silico study. International Journal of Health Sciences, 6(S1), 468–480. https://doi.org/10.53730/ijhs.v6nS1.4779

Doddanna, S. J., Patel, S., Sundarrao, M. A., & Veerabhadrappa, R. S. (2013). Antimicrobial activity of plant extracts on Candida albicans: An in vitro study. Indian Journal of Dental Research, 24(4), 401.

Fox, E., & Nobile, C. (2013). The Role of Candida albicans Biofilms in Human Disease. Candida Albicans Symptoms Causes Treat.

Jaghoori, M. M., Bleijlevens, B., & Olabarriaga, S. D. (2016). 1001 Ways to run AutoDock Vina for virtual screening. Journal of computer-aided molecular design, 30(3), 237-249. https://doi.org/10.1007/s10822-016-9900-9

Joseph, T. L., Namasivayam, V., Poongavanam, V., & Kannan, S. (2017). In silico approaches for drug discovery and development. Frontiers in Computational Chemistry. Bentham Science Publishers, 3, 74. Doi: 10.2174/9781681081670117030003

Junqueira, J. C., Vilela, S. F., Rossoni, R. D., Barbosa, J. O., Costa, A. C. B., Rasteiro, V., ... & Jorge, A. O. C. (2012). Oral colonization by yeasts in HIV-positive patients in Brazil. Revista do Instituto de Medicina Tropical de Sao Paulo, 54(1), 17-24. doi: 10.1590/S0036-46652012000100004

Lazaridis, T. (2002). Binding affinity and specificity from computational studies. Current Organic Chemistry, 6(14), 1319-1332. DOI: https://doi.org/10.2174/1385272023373491

Lim, S. V., Rahman, M. B. A., & Tejo, B. A. (2011, December). Structure-based and ligand-based virtual screening of novel methyltransferase inhibitors of the dengue virus. In BMC bioinformatics (Vol. 12, No. 13, pp. 1-12). BioMed Central. https://doi.org/10.1186/1471-2105-12-S13-S24

Manik, A., & Bahl, R. (2017). A review on oral candidal infection. Journal of Advanced Medical and Dental Sciences Research, 5(3), 54. http://jamdsr.com/uploadfiles/12ORALCANDIDALINFECTION54-57.20170422083202.pdf

Muadcheingka, T., & Tantivitayakul, P. (2015). Distribution of Candida albicans and non-albicans Candida species in oral candidiasis patients: Correlation between cell surface hydrophobicity and biofilm forming activities. Archives of oral biology, 60(6), 894-901. https://doi.org/10.1016/j.archoralbio.2015.03.002

Nguyen, N. T., Nguyen, T. H., Pham, T. N. H., Huy, N. T., Bay, M. V., Pham, M. Q., ... & Ngo, S. T. (2019). Autodock vina adopts more accurate binding poses but autodock4 forms better binding affinity. Journal of Chemical Information and Modeling, 60(1), 204-211. https://doi.org/10.1021/acs.jcim.9b00778

Patil, S., Rao, R. S., Majumdar, B., & Anil, S. (2015). Clinical appearance of oral Candida infection and therapeutic strategies. Frontiers in microbiology, 1391. https://doi.org/10.3389/fmicb.2015.01391

Scheraga, H. A., Khalili, M., & Liwo, A. (2007). Protein-folding dynamics: overview of molecular simulation techniques. Annu. Rev. Phys. Chem., 58, 57-83. DOI: 10.1146/annurev.physchem.58.032806.104614

Sethi, A., Joshi, K., Sasikala, K., & Alvala, M. (2019). Molecular docking in modern drug discovery: Principles and recent applications. Drug discovery and development-new advances, 2, 1-21.

Shamsudin Khan, Y., Gutiérrez-de-Terán, H., Boukharta, L., & Åqvist, J. (2014). Toward an optimal docking and free energy calculation scheme in ligand design with application to COX-1 inhibitors. Journal of chemical information and modeling, 54(5), 1488-1499. https://doi.org/10.1021/ci500151f

Sharma, N. K., & Jha, K. K. (2010). Molecular docking: an overview. J. Adv. Sci. Res, 1(1), 67-72. DOI: 10.1016/j.arabjc.2011.10.007

Singh, A., Verma, R., Murari, A., & Agrawal, A. (2014). Oral candidiasis: An overview. Journal of oral and maxillofacial pathology: JOMFP, 18(Suppl 1), S81. doi: 10.4103/0973-029X.141325

Singh, Y., Karicheri, R., & Nath, D. (2022). The burden of catheter associated urinary tract infection by candida Albicans and non Albicans with emphasis on biofilm formation and antifungal sensitivity pattern. International Journal of Health Sciences, 6(S2), 2356–2363. https://doi.org/10.53730/ijhs.v6nS2.5544

Srivastava, R., Tripathi, S., Unni, S., Hussain, A., Haque, S., Dasgupta, N., ... & Mishra, B. N. (2021). Silybin B and cianidanol inhibit Mpro and spike protein of SARS-CoV-2: Evidence from in silico molecular docking studies. Current pharmaceutical design, 27(32), 3476-3489. https://doi.org/10.2174/1381612826666201210122726

Xiao, X., Min, J. L., Lin, W. Z., Liu, Z., Cheng, X., & Chou, K. C. (2015). iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach. Journal of Biomolecular Structure and Dynamics, 33(10), 2221-2233. https://doi.org/10.1080/07391102.2014.998710

Yusufkhan, P. S., Deshmukh, S. R., & Farooqui, M. (2022). Design, synthesis, and biological evaluation of some methyl 2-(1H-pyrazol-4-ylthio)-1,2,3,4-tetrahydro-6-methylpyrimidine-5-carboxylate derivatives as potential DHFR inhibitors. International Journal of Health Sciences, 6(S1), 1018–1040. https://doi.org/10.53730/ijhs.v6nS1.4853

Published

14-05-2022

How to Cite

Sriwastava, A. R., & Srivastava, V. (2022). Identification of bioactive agent in tinospora cordifolia by in- silico approach. International Journal of Health Sciences, 6(S3), 5968–5979. https://doi.org/10.53730/ijhs.v6nS3.7313

Issue

Section

Peer Review Articles